11 research outputs found

    Plexus 2018: Synergy

    No full text

    Implementation and impact on length of stay of a post-discharge remote patient monitoring program for acutely hospitalized COVID-19 pneumonia patients

    No full text
    ObjectiveIn order to manage COVID-19 patient population and bed capacity issues, remote patient monitoring (RPM) is a strategy used to transition patients from inpatients to home. We describe our RPM implementation process for post-acute care COVID-19 pneumonia patients. We also evaluate the impact of RPM on patient outcomes, including hospital length of stay (LOS), post-discharge Emergency Department (ED) visits, and hospital readmission.Materials and methodsWe utilized a cloud-based RPM platform (Vivify Health) and a nurse-monitoring service (Global Medical Response) to enroll COVID-19 patients who required oxygen supplementation after hospital discharge. We evaluated patient participation, biometric alerts, and provider communication. We also assessed the program's impact by comparing RPM patient outcomes with a retrospective cohort of Control patients who similarly required oxygen supplementation after discharge but were not referred to the RPM program. Statistical analyses were performed to evaluate the 2 groups' demographic characteristics, hospital LOS, and readmission rates.ResultsThe RPM program enrolled 75 patients with respondents of a post-participation survey reporting high satisfaction with the program. Compared to the Control group (n = 150), which had similar demographics and baseline characteristics, the RPM group was associated with shorter hospital LOS (median 4.8 vs 6.1 days; P=.03) without adversely impacting return to the ED or readmission.ConclusionWe implemented a RPM program for post-acute discharged COVID-19 patients requiring oxygen supplementation. Our RPM program resulted in a shorter hospital LOS without adversely impacting quality outcomes for readmission rates and improved healthcare utilization by reducing the average LOS

    Electronic health record solutions to reduce central line-associated bloodstream infections by enhancing documentation of central line insertion practices, line days, and daily line necessity

    No full text
    BackgroundCentral line-associated bloodstream infections (CLABSIs) continue to cause preventable morbidity and mortality, but methods for tracking and ensuring consistency of CLABSI-prevention activities remain underdeveloped.MethodsWe created an integrated electronic health record solution to prompt sterile central venous catheter (CVC) insertion, CVC tracking, and timely line removal. The system embedded central line insertion practices (CLIP) elements in inserter procedure notes, captured line days and new lines, matching each with its CLIP form and feeding back compliance, and enforced daily documentation of line necessity in physician progress notes. We examined changes in CLIP compliance and form submission, number of new line insertions captured, and necessary documentation.ResultsStandard reporting of CLIP compliance, which measures compliance per CLIP form received, artificially inflated CLIP compliance relative to compliance measured using CVC placements as the denominator; for example, 99% per CLIP form versus 55% per CVC placement. This system established a higher threshold for CLIP compliance using this denominator. Identification of CVCs increased 35%, resulting in a decrease in CLABSI rates. The system also facilitated full compliance with daily documentation of line necessity.ConclusionsIntegrated electronic health records systems can help realize the full benefit of CLABSI prevention strategies by promoting, tracking, and raising the standard for best practices behavior

    Reductions in Clostridium difficile Infection (CDI) Rates Using Real-Time Automated Clinical Criteria Verification to Enforce Appropriate Testing.

    No full text
    C. difficile PCR testing identifies both colonized and infected patients, making it critical to only test patients that meet clinical criteria for C. difficile infection (CDI). We implemented an automated order-entry protocol that reduced inappropriate testing by 64% and hospital-onset (HO) CDI Standardized Infection Ratio (SIR) from 1.62 to 0.82
    corecore